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Converting Linear Models to CoDa models

Source: R/class-lmCoDa.R
ToSimplex.Rd

The function converts the output of a "lm" to the "lmCoDa" class, which offers additional tools for the interpretation of a CoDa regression models. Most of the work is done by the transformationSummary() function, which has its own documentation page, but should be reserved for internal use.

Usage

ToSimplex(object)

Arguments

object

an object of class "lmCoDa"

Value

an object of class "lm" and "lmCoDa" if the formula include at least one log-transformation

See also

lm(), lmCoDa()

Author

  • Lukas Dargel

  • Rodrigue Nasr

Examples


# XY-compositional model
res <- lm(
  ilr(cbind(left, right, extreme_right)) ~
  ilr(cbind(Educ_BeforeHighschool, Educ_Highschool, Educ_Higher)),
  data =  head(election, 20))
res <- ToSimplex(res)

# X-compositional model
res <- lm(YIELD ~ PRECIPITATION + ilr(TEMPERATURES), data = head(rice_yields, 20))
res <- ToSimplex(res)